sameekshya1999/EEG-Sleep-Stage-Classification

This project implements a deep learning model (EEGNet with temporal attention) to classify sleep stages (Wake, N1, N2, N3, REM) using EEG data from the Sleep-EDF dataset. It automates sleep scoring with high accuracy and supports efficient training on low-memory systems.